Triple

T14513683
Position Surface form Disambiguated ID Type / Status
Subject Michelle Fairley E340462 entity
Predicate characterPortrayed P1507 FINISHED
Object Margot Al-Harazi E1087576 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Margot Al-Harazi | Statement: [Michelle Fairley, characterPortrayed, Margot Al-Harazi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margot Al-Harazi
Context triple: [Michelle Fairley, characterPortrayed, Margot Al-Harazi]
  • A. Margot Al-Harazi chosen
    Margot Al-Harazi is a primary antagonist in the television event series "24: Live Another Day," depicted as a ruthless terrorist leader orchestrating large-scale attacks against London.
  • B. Aida El-Kachef
    Aida El-Kachef is known as the wife of Egyptian diplomat and Nobel Peace Prize laureate Mohamed ElBaradei.
  • C. Mona Khalidi
    Mona Khalidi is known primarily as the wife of Palestinian-American historian and Columbia University professor Rashid Khalidi.
  • D. Safia Farkash
    Safia Farkash is the second wife of former Libyan leader Muammar Gaddafi and the mother of several of his children, known primarily for her role as Libya’s de facto first lady during his rule.
  • E. Zena Barakat
    Zena Barakat is a film producer known for her work on the political documentary "Casino Jack and the United States of Money."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6d82988190b6f957012bcc63d4 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a49484081908fd2030d33727a6d completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:21 a.m.